AI Datagrid is a working spreadsheet in the browser — inline cell editing, column resizing and reordering, sorting, filtering, copy and paste, keyboard navigation and virtual scrolling over thousands of rows — paired with a chat composer that edits the grid for you.

Ask the assistant to generate a set of columns for a new table, to enrich selected cells with values the model infers, or to filter and sort the data in natural language. Every change the agent makes lands in the grid as a normal edit you can inspect and change.

It is a template, not a hosted product: clone it, run pnpm install && pnpm dev, and build your own Airtable, Notion database or Google Sheets alternative on top. It is built with Next.js 16, React 19, TanStack Table and Virtual, and eve, Vercel's agent framework, calling models through the Vercel AI Gateway. The source is MIT licensed at https://github.com/kyh/ai-datagrid.

Who makes it

AI Datagrid is built and maintained by Kaiyu Hsu, an independent developer who publishes a family of open-source AI app templates. It is a personal open-source project: there is no company, no paid tier and no sales team behind it.

What you can try here

• Spreadsheet — a blank 26-column spreadsheet to type into or generate from
• Companies — 50 sample companies
• People — 50 sample people covering every column type
• Articles — 50 sample articles with date columns
• Generate demo — the agent designs and adds columns from a prompt
• Enrich demo — select cells, then ask the agent to fill them in
• Filter and sort demo — the agent turns a plain-English request into filters and sorts

More

• /llms.txt — this overview for language models
• /sitemap.xml — every indexable URL
• Source on GitHub — clone, fork or file an issue
• Contact — how to reach the maintainer
• Privacy — what the demo collects and where your data goes